Agent Claude Code
A planning agent for making articles more relatable and more likely to be shared, using real details from the topic and outline.
53 tagged content generation, measured the same way as everything else here.
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Agent Claude Code
A planning agent for making articles more relatable and more likely to be shared, using real details from the topic and outline.
Agent Claude Code
A text-editing agent that removes common signs of AI-written prose while preserving the original facts, experiences, evidence, viewpoints, and style.
Agent Claude Code
An agent that designs article headlines using predefined headline patterns and factual limits. It is called by a larger writing workflow at a specific stage.
Agent
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
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Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
Agent
Create or update the project constitution from interactive or provided principle inputs, ensuring all dependent templates stay in sync.
Agent
Book structure validation, outline generation, concept flow and inter-chapter dependency analysis. Use for structure requests, outline reviews, chapter ordering optimization.
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Book cover design. Analyzes genre/audience/title → 3-5 concepts with image generation prompts. Supports multiple formats (ebook, print, audiobook). Phase 5.
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Scene-level illustration generation. Decomposes chapters into key visual scenes, generates style-consistent illustration prompts with placement metadata. Fiction/nonfiction.
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Deep pre-idea exploration — generates scenarios, use cases, and narratives for a single idea direction.
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Deeply analyzes codebases to discover compelling story angles, technical insights, and content-worthy narratives by examining code patterns, git history, architecture decisions, and developer comments.
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Optimizes content for specific formats (blog, tutorial, Twitter, LinkedIn, README, newsletter) by applying format-specific templates, voice calibration, and platform requirements.
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Validates content against format-specific checklists, readability thresholds, evidence grounding requirements, and phase gate criteria. Reports issues with confidence scores and specific fixes.
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Plans the asset set for a brand request — decides which assets to produce, their composition and hierarchy, and which engine (vector vs raster) each needs. Use before generating anything ambiguous or multi-asset.
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Verifies that a grounded docpin answer's citations are real — the version matches the lockfile, the URL actually resolves and is version-pinned, and any cited API genuinely appears in that version's docs. Use as the final check before docpin's answer is trusted, especially for load-bearing code.
Agent
Runs docpin's resolve → fetch → distill loop for ONE library in isolation, keeping the multi-step lookup out of the main session's context. Use when the main session needs version-matched docs for a library and you want the fetch/registry-lookup noise kept out of its context.